AI Agents

**AI Agents** AI Agents are software programs that can complete multi-step tasks without someone walking them through each action. You give them a goal like "research this company and find their decision makers," and they figure out how to do it. A sales team might use one to automatically research prospects, find contact information, and draft personalized outreach emails based on recent company news or job postings. The technology works through what developers call AI agent architecture. These intelligent software agents use large language models (LLMs) as their reasoning system, breaking down your request into smaller tasks they can actually execute. They connect to your existing tools like CRMs, databases, and web browsers through APIs. LLM agents can remember what they've done previously and adjust their approach if something doesn't work, which lets them handle tasks that change based on the situation they encounter. Traditional automation tools work more like "if this happens, then do that" rules, while RPA bots just replay the exact same sequence of clicks every time. AI agents make their own decisions about how to reach the goal you set. Instead of programming exactly which website to check and which fields to fill out, you can tell an agent to "qualify these leads" and it will decide which data sources to use and what information matters for your specific criteria. Sales and marketing teams use these tools to handle research that used to take hours manually. An agent can monitor news feeds for companies that just got funding, cross-reference that with your ideal customer profile, find the right contacts at those companies, and draft outreach messages that reference the funding news. Revenue operations teams deploy them to keep CRM data clean and up to date. Multi-agent systems can handle even more complex workflows, with different agents specializing in different parts of a larger process. These tools handle the repetitive research and data work, which lets people focus on the conversations and relationships that actually close deals.buyer intent tools, etc., to assist salespeople in timely outreach. Marketing and sales executives use this type of software to define and implement sales strategies based on this data combined with external data in their CRM software, such as lists of prospects, B2B contact databases, etc. These solutions help salespeople increase productivity, establish meaningful connections, and enrich prospect or customer data, among other key benefits.